Gábor Vitrai

Gábor Vitrai has a diverse work experience in various roles and companies. In 2019, they worked as a University Intern at ELTE-Soft, where they gained experience in web services and program structures, specifically focusing on data visualization using JS/TS and Java. In 2020, they joined Eötvös Loránd University as a Java Software Engineer, involved in the development of a map viewer web application using the Spring framework. Gábor worked on the backend development and also contributed to the client development and deployment. Additionally, in the same year, Gábor worked as an English Translator at EPS-Connect International Zrt. In 2021, they became a Teacher Assistant in Software Technology at Eötvös Loránd University, where they taught coding principles, Java, continuous integration, architectures, project management, and group work. Gábor also took on the roles of Scrum Master and Project Manager. Currently, Gábor is working as a Data Engineer at SpazioDati srl, starting in September 2022. Prior to this, they were a Machine Learning Engineer Intern at the same company from May to August 2022.

Gábor Vitrai's education history begins in 2017 when they enrolled at Eötvös Loránd University to pursue a Bachelor of Science degree in Computer Software Engineering. Gábor completed their undergraduate studies in 2020.

In the same year, Gábor continued their education by enrolling at Eötvös Loránd University for a Master of Science degree in Data Science. Gábor studied at the university until 2021.

Gábor Vitrai further enhanced their knowledge and skills by attending the Universidad Politécnica de Madrid in 2020, where they completed a Summer School program focusing on Innovation & Entrepreneurship.

To further expand their expertise, Gábor joined the Università di Trento in 2021 to pursue a Master of Science degree in Data Science, and they are expected to complete their studies in 2022.

In addition to their academic pursuits, Gábor Vitrai obtained a certification in Natural Language Processing with Classification and Vector Spaces from Coursera in November 2021.